Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency

IMPORTANCE: The efficient and accurate interpretation of radiologic images is paramount. OBJECTIVE: To evaluate whether a deep learning–based artificial intelligence (AI) engine used concurrently can improve reader performance and efficiency in interpreting chest radiograph abnormalities. DESIGN, SE...

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Detalles Bibliográficos
Autores principales: Ahn, Jong Seok, Ebrahimian, Shadi, McDermott, Shaunagh, Lee, Sanghyup, Naccarato, Laura, Di Capua, John F., Wu, Markus Y., Zhang, Eric W., Muse, Victorine, Miller, Benjamin, Sabzalipour, Farid, Bizzo, Bernardo C., Dreyer, Keith J., Kaviani, Parisa, Digumarthy, Subba R., Kalra, Mannudeep K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434361/
https://www.ncbi.nlm.nih.gov/pubmed/36044215
http://dx.doi.org/10.1001/jamanetworkopen.2022.29289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434361/
https://www.ncbi.nlm.nih.gov/pubmed/36044215
http://dx.doi.org/10.1001/jamanetworkopen.2022.29289

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